The event is aimed at producing an accelerated pathways to increasing public-private partnerships to enable the use of big data and other non-traditional data sources in policymaking by mainstreaming their use in official statistics. The focus of the event will be exploring ways to enable the possibility of how various institutional arrangements, including in-house production of statistics by data providers, direct transfer of private data to end users, the transfer of private data to a trusted third party and the outsourcing of certain functions. It is crucial that national statistical offices, supported by international organizations, continue to advance the design and implementation of incentives and business models that encourage effective partnerships for improving the availability and quality of data for sustainable development. The event will also among others explore how Data innovation projects can be implemented by a broad range of public and private actors in many parts of the world, including Africa, Asia and Latin America. The results are promising. For instance, crowdsourcing exercises can be employed for the collection and analysis of data for Intentional Design of programmes for girls and women and data on climate change. That said, the use of innovative technologies and new data sources for the public good is not without risk. It also presents institutional challenges: merging new data sources with traditional ones requires the modernization of data governance and quality frameworks to ensure national ownership and the establishment of transparent mechanisms. Such mechanisms allow partners from the private sector, academia and civil society to contribute their data, expertise and technology to achieving the SDGs.